Swiss German University

Abstract This chapter presents some major aspects of how expressivity is connected to the field of pedagogical linguistics in the domains of both L1 language classroom teaching and L2 language acquisition and multilingualism. Specifically, the chapter first sketches the so-called “affective turn” in applied linguistics and illustrates for student teachers in L1 classrooms what kind of affective beliefs are typically evoked by central components of pedagogical linguistics such as grammar and multilingualism. Based on some recent empirical studies, it is concluded that many times there is a mismatch between affective beliefs of student teachers and their actual knowledge systems. The chapter then turns to second language classrooms and some prominent learning challenges in the domain of emotional vocabulary, as well as further cases of expressive language that convey similar meanings and therefore seem to pose analogous learning challenges.

This paper proposes a novel framework for evaluating enterprise AI, continuing from the previous NAEF Architecting Enterprise AI Framework that emphasizing the integration of three frameworks (TOGAF, BADIR, and INSIGHT) to create a robust and comprehensive methodology, in which at the end of the previous paper was acknowledging the important of Trusted AI. Building upon this architectural foundation, this work further addresses a critical impediment to realizing the strategic value of enterprise AI: the chasm between technical validation and executive trust. While technical teams concentrate on component-level correctness-measuring factual accuracy and task completion-business leaders require holistic assurance across a sociotechnical spectrum that includes governance, ethics, and transparency. This disconnect creates a “trust blind spot,” leading to technically sound but organizationally inert AI investments. To bridge this gap, a unified, multi-layered Enterprise AI Evaluation Framework is proposed to move beyond component-level metrics. This framework introduces a holistic assessment of AI systems by integrating technical validation with the principles of organizational trust-building. It evaluates AI on three progressive levels: Technical Correctness (Is the system functionally correct?), Systemic Credibility (Can the process be trusted?), and Institutional Integrity (Does the decision align with organizational values and risk tolerance?). The framework provides a strategic roadmap for engineering credible and trustworthy AI, transforming trust from a soft goal into a measurable, manageable strategic asset. Sample previous works were cited to highlight the issues, challenges and opportunities from the framework point of view.

Abstract Background Stenochlaena palustris is valued as a vegetable and medicinal fern native to Southeast Asia; however, it remains largely underrepresented in genomic studies. People in Kalimantan (Indonesia) collect young leaves and fronds from wild populations for use as vegetables or medicines to treat conditions, such as ulcers, stomachaches, fever, diarrhoea, and skin infections. The young leaves and fronds of S. palustris contain flavonoids, polyphenols, and anthocyanins. Here, we present a high-quality organ-specific transcriptome assembly of S. palustris based on long-read RNA sequencing of young leaves. Results The de novo assembly yielded 47,759 transcripts, with an N50 of 1,524 bp and a BUSCO completeness of 66.6%, consistent with organ-specific transcriptomes. Functional annotation identified key structural and regulatory genes involved in anthocyanin biosynthesis, including genes for chalcone synthase (CHS) and dihydroflavonol 4-reductase (DFR). We further analysed the expression of the selected CHS and DFR genes via qRT-PCR of three phenotypically contrasting young leaf samples. Although no strong correlation was observed between gene expression levels and anthocyanin pigmentation, the results suggest that complex regulation involves post-transcriptional control or developmental timing. Conclusions This study provides the first long-read transcriptomic resource for S. palustris and valuable data for future investigations of secondary metabolism and gene regulation in ferns. Our findings complement broader fern transcriptome studies by offering tissue-specific resolution and a focused view of pigment biosynthesis.

The coal mining industry relies on heavy equipment such as excavators and bulldozers and their efficiencies are critical for the productivity. This paper addresses the issue of unscheduled breakdowns due to high operational temperatures which impacts productivity, equipment availability and maintenance costs. The existing Vehicle Health Monitoring System (VHMS) from Komatsu Original Manufacturing lacks of real-time data for coolant temperature. The data recording is only every 20 hours and data reporting to the monitoring system is transferred daily. This lack of data is leading to unable for identifying the causes of problems. This study proposes a real-time temperature monitoring dashboard for the VHMS to track and manage Komatsu equipment temperature limits and to upgrade the existing system to record temperature data in every second instead of every 20 hours. This fine data collection provides enough information for a comprehensive analysis of machine conditions. This allows for quick identification of abnormal temperature trends, leading to timely maintenance and failures prevention. The new dashboard system provides immediate access to detailed temperature data, facilitating prompt decision-making in maintenance process. It also involves setting new temperature limits to prevent overheating and reduce unscheduled component breakdown from 25% in 2019 to 0% in 2023 and 2024. Implementing a real-time temperature monitoring dashboard is expected to improve equipment availability, reduce breakdowns, optimize maintenance schedules and lower operational costs in the coal mining industry.

Contextual performance is of paramount importance within organizational settings, thereby necessitating a heightened focus on its manifestation. Therefore, this research aims to determine the influence of ethical leadership on contextual performance with good corporate governance (GCG) mediation. The sample comprised 325 employees engaged in the consumer goods, finance, trade, services, and investment sectors in Indonesia. The method of data collection employed a questionnaire utilizing a Likert scale. The analytical approach utilized structural equation modeling grounded in Partial Least Square (SEM-PLS), complemented by descriptive and correlational analyses. The findings of the research indicate that ethical leadership exerts a direct influence on both GCG and contextual performance, that GCG directly affects contextual performance, and that ethical leadership indirectly impacts contextual performance via GCG. This evidence substantiates a novel empirical framework concerning the effect of ethical leadership on employee contextual performance via GCG. This framework is posited to serve as a basis for stimulating discourse among scholars and researchers, while also acknowledging the existing limitations.

PurposeThis paper examines the relationships of absorptive capacity, organizational creativity and agility to organizational resilience and competitive advantage in disruptive environments and proposes modeling these relationships.Design/methodology/approachData were collected from 216 respondents out of the 300 targeted respondents (a response rate of 72%) across different industries. The questionnaire data were analyzed using structural equation modeling.FindingsThe paper provides empirical insights into how resilience is created through the interactions between absorptive capacity, organizational creativity and agility. It suggests that organizational creativity acts more as a “determinant force” in enhancing resilience in the disruptive environment, whereas organizational agility is more associated with competitive advantage. This study also shows the bi-directional relationships between organizational resilience and creativity. In a disruptive environment, an organization tends to seek new knowledge externally through its absorptive capacity to foster its creativity to build resiliency, whereas organizational resilience is also needed for the organization to promote its creativity.Research limitations/implicationsThe research was conducted using cross-sectional data; thus, causality among the constructs could not be fully established.Practical implicationsThe paper shows that an organization needs to build a culture of learning to enhance its absorptive capacity, creativity and resilience capabilities and sustain its competitive advantage.Originality/valueThis paper fulfills an identified need to study how absorptive capacity, organizational creativity, agility and resilience play strategic roles interactively and differently in developing a firm’s competitive advantage in a disruptive environment.